Chunka Chunka

RESEARCH INTERESTS

Cryptography and Network Security

Scopus Publications

An Ensemble Learning-Assisted Obstructive Sleep Apnea Detection Model Using EEG Physiological Signals and Improved Extra Tree Classifier
Atiya Khan, Saroj Kr. Biswas, and Chukhu Chunka
Institute of Electrical and Electronics Engineers (IEEE)
Obstructive Sleep Apnea (OSA) is a sleep disorder where people experience repeated interruptions in their breathing during sleep. Electroencephalogram (EEG) data can provide valuable insights into the disruptions caused by OSA during sleep. This letter proposes an ensemble expert system for obstructive sleep apnea detection (EESOSAD-I) using a single-lead EEG signal. The EESOSAD-I leverages discrete wavelet transform with db8 for EEG signal decomposition into sub-bands and formulates essential statistical features for information encapsulation. A state-of-the-art data preprocessing and feature fusion pipeline has been designed and developed for feature refinement and underlying pattern enhancement toward OSA detection. With the developed data refinement and incorporated ensemble extra tree classifier, the proposed EESOSAD-I achieved a notable performance accuracy of 84%, outperforming all the incorporated benchmarks with optimal margins. Further, the proposed model has also been compared with multiple state-of-the-art models, and it demonstrated superior performance in various evaluation schemes with the highest performance of 84% and an average performance accuracy of 82%.


A Machine Learning Model for Obstructive Sleep Apnea Detection Using Ensemble Learning and Single-Lead EEG Signal Data
Atiya Khan, Saroj Kr. Biswas, Chukhu Chunka, and Akhil Kumar Das
Institute of Electrical and Electronics Engineers (IEEE)



Intelligent Sleep Apnea Detection by Advanced ML using Single-Lead EEG Signal data
Atiya Khan, Saroj Kr. Biswas, Chukhu Chunka, and Barnana Baruah
Institute of Electrical and Electronics Engineers (IEEE)



Ensembled Obstructive Sleep Apnea Detection Using Extra Tree Ensemble Technique
Atiya Khan, Saroj Kr. Biswas, Chukhu Chunka, and Subhas Barman
IEEE
Obstructive Sleep Apnea (OSA) is a sleep-related disorder with repetitive episodes of complete or partial upper airway obstruction during sleep. These episodes result in disrupted breathing patterns and reduced oxygen levels in the blood. Electroencephalogram is a valuable tool in detecting and diagnosing sleep apnea as it provides insights into the disruptions of sleep caused by repeated apnea events. This paper proposes an efficient model to detect OSA named Ensembled Expert System for Obstructive Sleep Apnea Detection (EESOSAD) using EEG physiological sensors and an Extra Tree ensemble classifier. The proposed model incorporates Discrete Wavelet Transform with Daubechies order-8 for decomposing EEG signal into multiple sub-bands and extracting statistical features like - Maximum, Minimum, Mean, Standard Deviation, Kurtosis, Power, Energy, Root Mean Square, and Variance. A state-of-the-art data preprocessing pipeline is also designed and developed for treating corrupted, missing, duplicates, and outliers, as medical data are prone to noise, anomalies, and inconsistencies that can distort patterns and compromise analysis validity. Finally, for the classification task, the Extra Tree ensemble classifier is used for OSA detection to comprehensively evaluate the performance of the developed data pre-processing and feature fusion pipeline. Multiple evaluation metrics, including Precision, Recall, Accuracy, F1-score, and AUC-ROC curve, have been employed to compare and assess the model’s effectiveness. Furthermore, diverse state-of-the-art ensemble learning models have been incorporated for benchmark comparison and discussion. The proposed EESOSAD model achieved an average accuracy of 59% and outperformed multiple benchmark models with an optimal performance margin.


A secure communication using multifactor authentication and key agreement techniques in internet of medical things for COVID-19 patients
Chukhu Chunka, Subhasish Banerjee, and Gupta Sachin Kumar
Wiley



ESAD: Expert System for Apnea Detection Using Enhanced DWT Feature Extraction and Machine Learning Algorithms
Atiya Khan, Saroj K. Biswas, and Chukhu Chunka
IEEE
Sleep apnea is a sleep disorder with some potentially severe consequences, characterized by recurring disturbance in breathing during sleep. This happens when the muscles in the back of the throat cannot maintain an open airway, leading to brief awakenings to take a breath. Since the last decades, several expert systems have been proposed for apnea detection, but only a few have analyzed the data exhaustively before classification. This paper proposes a model for apnea detection named Expert System for Apnea Detection (ESAD) that uses Discrete Wavelet Transform (DWT) for EEG signal decomposition and for features extraction, namely Standard Deviation(SD), Power, Mean, Energy, Kurtosis, Max, Min, Variance and Root Mean Square (RMS). The proposed ESAD uses Isolation Forest (IF) for outlier detection as the used medical data can have noise and anomalies. Finally, the SVM with Radial Basis Function (RBF) kernel is incorporated for detecting and classifying sleep apnea disorder accurately. The model’s performance is evaluated by incorporating key performance metrics like - Precision, Accuracy, F1-Score and Recall and ROC-AUC curve. On comparing ESAD with other machine learning models, it outperforms other incorporated shallow learning models like - Decision Tree, KNN, and Naive Bayes with superior performance, demonstrating higher accuracy and precision in detecting apnea events.


A Secure Key Agreement Protocol Defiant to Denial-of-Service Attack based on Three Party Authentication
Chukhu Chunka, Subhasish Banerjee, Soumyajit Nag, and Rajat Subhra Goswami
Springer Science and Business Media LLC



Fittest Secret Key Selection Using Genetic Algorithm in Modern Cryptosystem
Chukhu Chunka, Avinash Maurya, and Parashjyoti Borah
Springer Nature Singapore



Twin Support Vector Machines Classifier Based on Intuitionistic Fuzzy Number
Parashjyoti Borah, Ranjan Phukan, and Chukhu Chunka
Springer Nature Singapore



An Efficient Mutual Authentication and Symmetric Key Agreement Scheme for Wireless Body Area Network
Chukhu Chunka and Subhasish Banerjee
Springer Science and Business Media LLC
A Wireless Body Area Networks (WBANs) is a wireless network in which sensors are embedded inside the body of a human, to monitor the health of patient continuously without any constraint in his normal daily life activities. As the information from the embed sensor is transmitted through wireless network and device has a limited battery power, therefore, the assurance of security in such tiny devices related to medical patients is highly recommended. Thus, the shared information must be maintained in terms of integrity, confidentiality, non-repudiation, untraceable key establishment, and mutual authentication in WBAN. In this context, to achieve high security and efficiency in WBAN, an efficient mutual authentication and secret key agreement scheme have been proposed in this paper and also listed out some drawbacks of an existing mutual authentication and key agreement of Li et al.’s scheme. To confirm the efficiency and security, the proposed scheme has been verified using formal security analysis tool namely, ProVerif and BAN logic. The low communication and computation costs indicate that our scheme is more suitable for practical application in healthcare as compared to other existing schemes.


An Efficient User Authentication and Session Key Agreement in Wireless Sensor Network Using Smart Card
Chukhu Chunka, Subhasish Banerjee, and Rajat Subhra Goswami
Springer Science and Business Media LLC
Securely accessing the information from sensor nodes is the premier need and becomes the challenging area in wireless sensor networks (WSNs) and internet of things environment (IoT). Consequently, keeping up the protection of shared information, authentication assumes a vital role. Where after the mutual authentication, it makes the agreement of the session key among the participants. In this regard, Kalra et al.’s proposed a mechanism for client authentication and session key agreement, and guaranteed, their scheme is highly secured against many possible and well-known threats. However, in this paper, it has been demonstrated that their scheme can suffer from sensor node capturing attack, leakage of gateway node’s secret key and also impractical for session key agreement. Further, an improved scheme has been proposed to conquer the security flaws of Kalra et al.’s scheme. In addition, to check the security properties and to prove the mutual authentication among the participant, the proposed scheme has been verified by ProVerif protocol verification tools. Finally, a comparative study with the other related schemes has also been defined to prove the efficiency of the proposed scheme.


A Secure Key Agreement Protocol for Data Communication in Public Network Based on the Diffie-Hellman Key Agreement Protocol
Chukhu Chunka, Subhasish Banerjee, Soumyajit Nag, and Rajat Subhra Goswami
Springer Singapore
Idea behind the key agreement protocol is to enable the entities to communicate safely over insecure public networks. In this paper, we proposed a secure key agreement protocol using Diffie-Hellman key agreement. In 2005, Lee and Lee [1] proposed a key agreement protocol dependent on Diffie-Hellman and guarantee that their protocol beat the attacks like man-in-the-middle attack. However, we brought up that Lee and Lee are defenseless against man-in-the-middle attack, impersonate attack and replay attack. Further proposed an improved key agreement protocol and demonstrated that the protocol is secure against the attacks. To confirm the security properties, we have done formal verification called ProVerif tools. Finally, to demonstrate the efficient, we compared other related authentication key agreement schemes with the proposed scheme.


A Novel Key Generating Scheme of Automatic Variable Key
Chukhu Chunka, Subhasish Banerjee, and Rajat Subhra Goswami
IEEE
The major objectives of the computer networks are, sharing information and providing uninterrupted services over a distance. Because of the critical nature of computer networks and continuous development in information technology, the probability of getting hacked and leaking of the shared message becomes a bigger threat. Therefore, achieving perfect security in such shared data is an incredible research challenge. The pioneering work of Shannon on perfect security says that shared data can only be kept confidential if the length of the key is higher or equal to the size of the message. Therefore, in this paper, we have proposed a pseudorandom function which will take negotiated session keys and data block as a seed value and produce the required number of distinct keys i.e. Automatic Variable key (AVK) for each block of data transmission instead using the same key every time.


Technique to generate the secure symmetric key under variable keys environment using genetic algorithm
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
The purpose of information security is to protect information or data from misuse, unauthorized access and also to ensure the secured communication between transmitter and receiver. In this regard, one of the primary and foremost necessity is to protect the key by any means and should also be unbreakable. In this context, a mechanism namely, Automatic Variable Key (AVK) has been introduced to maintain the secrecy of the key. However, in this approach the initial key must be established earlier, then only it changes the keys and make unpredictable to guess, for every new block of data transmission. Thus, to overcome from this extra burden of initial distribution of key, we propose a new technique using Artificial Intelligent (AI) in order to generate the initial key automatically using the Genetic Algorithm (GA). We have demonstrated the importance of AI in the area of cryptography by our scheme. A comparative study is also carried out with the existing schemes to prove the proficiency of proposed scheme. Thus, in order to prove the unpredictability among the auto-generated keys, we have verified the randomness with the help of National Institute of Standards Technology (NIST) Test suite.


An Enhanced and Secure Biometric Based User Authentication Scheme in Wireless Sensor Networks Using Smart Cards
Subhasish Banerjee, Chukhu Chunka, Srijon Sen, and Rajat Subhra Goswami
Springer Science and Business Media LLC
Over the last two decades, several researchers have recommended many remote user authentication schemes, following since introducing the concept way back in 1981. Researchers are continuously trying to enhance the security in authentication protocols by incorporating the several features into their work. A few years back, Turkanovic et al. (Ad Hoc Netw 20:96–112, 2014) have presented a novel work for authenticating users in IOT environment using smart cards for wireless sensor networks. In this paper, we have demonstrated that their scheme doesn’t resist many possible security threats and have numerous flaws, and also proposed an enhanced and secure biometric-based user authentication technique to overcome their weaknesses. The stated protocol not only overcome from the flaws of Turkanovic et al.’s scheme but also reduce the computation overhead as well. Later, to proving the mutual authentication among the entities and session key secrecy of the proposed scheme has also been verified by ProVerif (2.0) simulation tool.


A novel approach to generate symmetric key in cryptography using genetic algorithm (GA)
Chukhu Chunka, Rajat Subhra Goswami, and Subhasish Banerjee
Springer Singapore
Purpose of computer network is to share the information and provide the secure services. Due to publically in nature of computer network opens the possibility of hacking and stealing the confidential information by the attackers. To maintain confidentiality, integrity and to defend interception, fabrication, and modification of data become a burning issue. In this regard, many mechanisms have been proposed by researchers, among which Automatic Variable Key (AVK) is a novel approach. But in AVK initial key is distributed through Rivest-Shamir-Adleman (RSA). Thus, to surmount this initial distribution of key, we have proposed a new technique using Artificial Intelligence where the initial key is distributed to both the parties through fitness function of GA. To validate the proposed scheme, National Institute of Standards Technology (NIST) statistical tools is used to check the randomness among the auto-generated keys and is compared with existing related schemes. The Standard Deviation of Hamming distance is calculated for three different experiments and values obtained are 8.05, 6.44 and 7.05 which shows improvement in performance as compared to similar existing methods.


CODES: A collaborative detection strategy for SSDF attacks in cognitive radio networks
Amar Taggu, Chukhu Chunka, and Ningrinla Marchang
ACM Press
Cognitive Radio Network (CRN) nodes called the Cognitive Radio (CR) nodes, sense the presence of a Primary User (PU) activity. The sensing reports from all the CR nodes are sent to a Fusion Centre (FC) which aggregates these reports and takes decision about the presence of the PU, based on some decision rules. Such a collaborative sensing mechanism forms the foundation of any centralised CRN. However, this approach can be misused by malicious Secondary Users (SUs) by carrying out Spectrum Sensing Data Falsification (SSDF) attacks. SSDF attacks which invade the CRN during spectrum sensing phase can affect the global decision of spectrum occupancy and thus, degrade the overall performance of a CRN. In this paper, a threshold-based detection strategy, CODES, is proposed for detection of SSDF attacks. Simulation results show successful detection of malicious SUs across a range of SSDF attacks.

RECENT SCHOLAR PUBLICATIONS

Intelligent Sleep Apnea Detection by Advanced ML using Single-Lead EEG Signal data
A Khan, SK Biswas, C Chunka, B Baruah
IEEE Sensors Journal 2024



Ensembled obstructive sleep apnea detection using extra tree ensemble technique
A Khan, SK Biswas, C Chunka, S Barman
2024 2nd International Conference on Advancement in Computation & Computer 2024



A Machine Learning Model for Obstructive Sleep Apnea Detection Using Ensemble Learning and Single-Lead EEG Signal Data
A Khan, SK Biswas, C Chunka, AK Das
IEEE Sensors Journal 2024



An Ensemble Learning_Assisted Obstructive Sleep Apnea Detection Model Using EEG Physiological Signals and Improved Extra Tree Classifier
K Atiya, B Saroj, Kr, C Chukhu
IEEE Sensors Letters 1 (3) 2024



Esad: Expert system for apnea detection using enhanced dwt feature extraction and machine learning algorithms
A Khan, SK Biswas, C Chunka
2023 14th International Conference on Computing Communication and Networking 2023



A secure communication using multifactor authentication and key agreement techniques in internet of medical things for COVID‐19 patients
C Chunka, S Banerjee, SK Gupta
Concurrency and Computation: Practice and Experience 35 (7), e7602 2023



Fittest Secret Key Selection Using Genetic Algorithm in Modern Cryptosystem
C Chunka, A Maurya, P Borah
Intelligent and Cloud Computing: Proceedings of ICICC 2021, 227-241 2022



Twin Support Vector Machines Classifier Based on Intuitionistic Fuzzy Number
P Borah, R Phukan, C Chunka
Intelligent and Cloud Computing: Proceedings of ICICC 2021, 371-384 2022



A secure key agreement protocol defiant to denial-of-service attack based on three party authentication
C Chunka, S Banerjee, S Nag, RS Goswami
Journal of The Institution of Engineers (India): Series B, 1-12 2021



An efficient mechanism to generate dynamic keys based on genetic algorithm
C Chunka, RS Goswami, S Banerjee
Security and Privacy 4 (5), e37 2021



An Efficient Mutual Authentication and Symmetric Key Agreement Scheme for Wireless Body Area Network
C Chunka, B Subhasish
Arabian Journal for Science and Engineering, 1-17 2021



An efficient user authentication and session key agreement in wireless sensor network using smart card
C Chunka, S Banerjee, RS Goswami
Wireless Personal Communications 117 (2), 1361-1385 2021



A secure key agreement protocol for data communication in public network based on the Diffie-Hellman key agreement protocol
C Chunka, S Banerjee, S Nag, RS Goswami
Micro-Electronics and Telecommunication Engineering: Proceedings of 3rd 2020



A Novel Key Generating Scheme of Automatic Variable Key
C Chunka, S Banerjee, RS Goswami
2019 IEEE International Conference on Advanced Networks and 2019



Technique to Generate the Secure Symmetric Key Under Variable Keys Environment using Genetic Algorithm
C Chunka, S Banerjee, RS Goswami
International Journal of Engineering and Advanced Technology (IJEAT) 9 (1 2019



An Enhanced and Secure Biometric Based User Authentication Scheme in Wireless Sensor Networks Using Smart Cards
S Banerjee, C Chunka, S Sen, RS Goswami
Wireless Personal Communications 107 (1), 243–270 2019



A novel approach to generate symmetric key in cryptography using genetic algorithm (ga)
C Chunka, RS Goswami, S Banerjee
Emerging Technologies in Data Mining and Information Security: Proceedings 2019



An approach to generate variable keys based on vertical horizontal mechanism
C Chunka, RS Goswami, S Banerjee, CT Bhunia
International Journal of Security and Its Applications 11 (3), 61-70 2017



Codes: A collaborative detection strategy for ssdf attacks in cognitive radio networks
A Taggu, C Chunka, N Marchang
Proceedings of the third international symposium on women in computing and 2015

MOST CITED SCHOLAR PUBLICATIONS

A secure communication using multifactor authentication and key agreement techniques in internet of medical things for COVID‐19 patients
C Chunka, S Banerjee, SK Gupta
Concurrency and Computation: Practice and Experience 35 (7), e7602 2023
Citations: 22



An efficient user authentication and session key agreement in wireless sensor network using smart card
C Chunka, S Banerjee, RS Goswami
Wireless Personal Communications 117 (2), 1361-1385 2021
Citations: 20



An Efficient Mutual Authentication and Symmetric Key Agreement Scheme for Wireless Body Area Network
C Chunka, B Subhasish
Arabian Journal for Science and Engineering, 1-17 2021
Citations: 15



A novel approach to generate symmetric key in cryptography using genetic algorithm (ga)
C Chunka, RS Goswami, S Banerjee
Emerging Technologies in Data Mining and Information Security: Proceedings 2019
Citations: 13



An efficient mechanism to generate dynamic keys based on genetic algorithm
C Chunka, RS Goswami, S Banerjee
Security and Privacy 4 (5), e37 2021
Citations: 11



Codes: A collaborative detection strategy for ssdf attacks in cognitive radio networks
A Taggu, C Chunka, N Marchang
Proceedings of the third international symposium on women in computing and 2015
Citations: 7



Esad: Expert system for apnea detection using enhanced dwt feature extraction and machine learning algorithms
A Khan, SK Biswas, C Chunka
2023 14th International Conference on Computing Communication and Networking 2023
Citations: 5



A secure key agreement protocol defiant to denial-of-service attack based on three party authentication
C Chunka, S Banerjee, S Nag, RS Goswami
Journal of The Institution of Engineers (India): Series B, 1-12 2021
Citations: 4



A Machine Learning Model for Obstructive Sleep Apnea Detection Using Ensemble Learning and Single-Lead EEG Signal Data
A Khan, SK Biswas, C Chunka, AK Das
IEEE Sensors Journal 2024
Citations: 2



An Ensemble Learning_Assisted Obstructive Sleep Apnea Detection Model Using EEG Physiological Signals and Improved Extra Tree Classifier
K Atiya, B Saroj, Kr, C Chukhu
IEEE Sensors Letters 1 (3) 2024
Citations: 2



A secure key agreement protocol for data communication in public network based on the Diffie-Hellman key agreement protocol
C Chunka, S Banerjee, S Nag, RS Goswami
Micro-Electronics and Telecommunication Engineering: Proceedings of 3rd 2020
Citations: 2



An approach to generate variable keys based on vertical horizontal mechanism
C Chunka, RS Goswami, S Banerjee, CT Bhunia
International Journal of Security and Its Applications 11 (3), 61-70 2017
Citations: 2



Ensembled obstructive sleep apnea detection using extra tree ensemble technique
A Khan, SK Biswas, C Chunka, S Barman
2024 2nd International Conference on Advancement in Computation & Computer 2024
Citations: 1



A Novel Key Generating Scheme of Automatic Variable Key
C Chunka, S Banerjee, RS Goswami
2019 IEEE International Conference on Advanced Networks and 2019
Citations: 1



Technique to Generate the Secure Symmetric Key Under Variable Keys Environment using Genetic Algorithm
C Chunka, S Banerjee, RS Goswami
International Journal of Engineering and Advanced Technology (IJEAT) 9 (1 2019
Citations: 1